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📣 ChatGPT Just Got Even More Life-Like

PLUS: What are Neural Networks?

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The Drip Team
September 29, 2024

We talk a lot about how smart AI is and how it learns from data, but what actually enables AI to do this? That’s where the brains behind the operation come in: neural networks. Dive in to this week’s issue as we discuss what makes machines think, learn, and reason in ways that (almost) mimic how our own brains work. AND find out how you can get a new virtual assistant.

What to Expect:

  • What are Neural Networks?

  • OpenAI’s Advanced Voice Mode is Coming to All Subscribers This Week

  • Level Up Your Car Buying Process

  • More AI Tech, Tools, and Talks

CONCEPT CORNER
What are Neural Networks?

🧠 What it is: A neural network is an AI technique designed to teach computers how to process data similarly to the human brain. It uses interconnected layers of nodes (or neurons) to create a brain-like structure. This setup allows computers to learn from their errors and improve over time, helping AI tackle more complicated tasks like facial recognition -or document summarization with impressive accuracy.

 🕸️ The Structure: They are made up of multiple processing units called nodes which are organized into layers. These layers are connected to each other via weights. It looks something like this:

📊 How it works:

  • Input Layer: The network starts by receiving raw data (like images, text, or audio). Each node in this layer corresponds to a feature of the input data. For example, in an image, the nodes may represent individual pixels but in an audio file, it might be a sound wave or in a text document, a node may be a word or a numerical value.

  • Hidden Layers: This is where the mathematical computations occur to make sense of the data. Each input node will be multiplied by weights to emphasize which factor is more important (a larger weight increases the influence, while a smaller weight reduces it).

  • Output Layer: Here is where the final prediction or classification is produced based on the information provided by the hidden layer. The output can consist of a single node (if it is a yes/no classification problem), or many nodes.

Let’s look at a simple example to make it more realistic:

This is how an artificial neural network for a loan approval program would work:

  • Input Layer:

    This layer takes in data about the applicant, such as:

    • Income

    • Credit Score

    • Debt 

    • (Each input node represents one of these factors)

  • Hidden Layer:

    The hidden layer processes the inputs, looking for patterns and relationships between factors like income, credit score, and debt to make a prediction. In this example, the network would be trained on a dataset of past loan decisions to understand how these factors are related.

  • Output Layer:

    This layer produces the final decision, either "Loan Approved" or "Loan Denied." The network uses the processed data to predict whether the applicant should get a loan.

👉️ The Takeaway: Neural networks are best used for recognizing patterns, making predictions, or handling complex data. Understanding how they work is crucial because they form the backbone of many AI advancements such as image recognition, voice assistants, and natural language processing.

💡 Dive Deeper: If you want to learn more about the math behind weights and biases, check out this simplified breakdown.

Source: Made by the Drip Team via DALL-E

📣 Big news for all avid chatbot users… OpenAI is rolling out its highly anticipated Advanced Voice Mode to all ChatGPT Plus subscribers this week! If you’ve been using text-based conversations, get ready for an upgrade that will let you talk to ChatGPT and hear it talk back—bringing a more natural and interactive experience to AI conversations.

  • 🗣️ What it does: The new feature allows you to speak directly to ChatGPT, and it responds in a natural-sounding human voice. It’s designed to make your interactions smoother and more engaging, moving beyond text into full-on back and forth dialogue. Whether you’re asking questions, brainstorming, or telling jokes, this feature is supposed to feel like a real-time conversation with a virtual assistant.

  • ❗️Why it matters:  This takes AI interactions to the next level by making conversations feel more lifelike than ever before. You can interrupt mid-sentence, shift topics, and ChatGPT may even respond with a casual laugh (seriously 😅 ), mimicking how people speak. This heightened realism takes us one step closer to fully aware and natural AI communication.

  • 📲 How to access: Starting this week, all ChatGPT Plus subscribers will have access to the voice mode through the app. Simply toggle on the voice feature and start chatting! (BTW, we plan to try this feature out and let you know all about the pros, cons, and how to use it in upcoming issues — so stay tuned)

Take a look here at how one guy got the voice assistant to duet Eleanor Rigby with him!

Or…Check out the short clip below to see what it will sound like!

PROMPT OF THE WEEK
For: New Car Buyers

I’m looking to buy a new [type of vehicle, e.g., sedan, SUV, etc.] with a budget of [$XX,XXX]. I prioritize [key features, e.g., fuel efficiency, safety, technology]. I will mainly use it for [commuting, family trips, off-roading, etc.], and I also need [specific needs, e.g., ample cargo space, all-wheel drive for snow, etc.]. Could you recommend a few models that fit these criteria, and explain why each one would be a good choice?

TECH TOOLS, TIPS, AND TALKS

📖 What we’re reading: Good to Great - Why Some Companies Make the Leap and Others Don’t
📻 What we’re listening to: Everyday AI Podcast - How AI Can Make Generalists as Valuable as Specialists
💻 What we’re using: Otter.AI - An AI meeting assistant that transcribes videos, creates automated summaries from online meetings, generates action items, sends emails, and much more.

MORE READING

We want to empower our readers with actually insightful knowledge so that they are more confident, informed leaders. Because let's face it, AI could be running the world pretty soon... so shouldn't we at least know how it works? If you are curious about a topic and want to learn more, drop us a message below👇🏼